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Learn the Basics of Machine Learning with Python (First Step For Beginners)
Updated on Sep, 2026
Programming, Data Science, Python
Duration - 5.5 hours
Training 5 or more people ?
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Steps of Machine Learning that You will learn:
Split data into Training & Test.
Evaluate and improve.
Machine Learning Course Contents:
What is Machine Learning - Types of Machine Learning (Supervised & Unsupervised).
Linear Regression with One Variable.
Linear Regression with One Variable (Cost Function - Gradient Descent).
Linear Regression with Multiple Variables.
Logistic Regression (Classification).
Logistic Regression (Cost Function - Gradient Descent).
Logistic Regression (Multiclass).
Regularization Overfitting.
Regularization (Linear and Logistic Regression).
Neural Network Overview.
Neural Network (Cost Function).
Advice for Applying Machine Learning.
Machine Learning Project 1
Machine Learning Project 2
Python Basics Course Contents:
Receive Input from User
Arithmetic Operations
Comparison Operators
You will learn the basics of Machine Learning.
You will learn the basics of Python.
You will need to set up Anaconda.
You will need to setup Python & PyCharm
This course is considered the first step in Machine Learning.
You can ask anytime.
No Programming Experience is Needed for this course.
Python for Data Science and Machine Learning is a great course that you can take to learn the implementation of ML models in Python.
This course is considered step one in Machine learning, You will learn the concept of Machine Learning with Python basics.
Check out the detailed breakdown of what’s inside the course
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